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Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games


Nov 23, 2020
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims


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A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning


Oct 31, 2020
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

* Under review as a conference paper 

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Deep RL With Information Constrained Policies: Generalization in Continuous Control


Oct 09, 2020
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro


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Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines


Oct 08, 2020
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell


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Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic


Apr 28, 2020
Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro

* Code available at https://github.com/camall3n/skills-for-planning 

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On the Role of Weight Sharing During Deep Option Learning


Feb 06, 2020
Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

* AAAI 2020 

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Hybrid Reinforcement Learning with Expert State Sequences


Mar 11, 2019
Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell

* AAAI 2019; https://github.com/XiaoxiaoGuo/tensor4rl 

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Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning


Mar 07, 2019
Dong Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How


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Learning Abstract Options


Nov 06, 2018
Matthew Riemer, Miao Liu, Gerald Tesauro

* NIPS 2018 

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Dialog-based Interactive Image Retrieval


Nov 01, 2018
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogerio Schmidt Feris


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Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference


Oct 29, 2018
Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro


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Learning to Teach in Cooperative Multiagent Reinforcement Learning


Aug 31, 2018
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How


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Diverse Few-Shot Text Classification with Multiple Metrics


May 19, 2018
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou

* NAACL 2018. 11+5 pages. arXiv admin note: text overlap with arXiv:1708.07918 

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Robust Task Clustering for Deep Many-Task Learning


May 18, 2018
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou


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Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering


Apr 26, 2018
Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell

* 13 pages 

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Eigenoption Discovery through the Deep Successor Representation


Feb 23, 2018
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell

* Published as a conference paper at ICLR 2018 

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The Eigenoption-Critic Framework


Dec 11, 2017
Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell


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Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation


Jun 14, 2016
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron Courville

* 21 pages, 2 figures, 10 tables 

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Hierarchical Memory Networks


May 24, 2016
Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio

* 10 pages 

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Selecting Near-Optimal Learners via Incremental Data Allocation


Dec 31, 2015
Ashish Sabharwal, Horst Samulowitz, Gerald Tesauro

* AAAI-2016: The Thirtieth AAAI Conference on Artificial Intelligence 

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Analysis of Watson's Strategies for Playing Jeopardy!


Feb 04, 2014
Gerald Tesauro, David C. Gondek, Jonathan Lenchner, James Fan, John M. Prager

* Journal Of Artificial Intelligence Research, Volume 47, pages 205-251, 2013 

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Bayesian Inference in Monte-Carlo Tree Search


Mar 15, 2012
Gerald Tesauro, V T Rajan, Richard Segal

* Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010) 

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